Made to give you
peace of mind
- 10 years security maintenance
- Open source
- Simple per node subscription
A complete solution for Spark® with enterprise-grade support
Simply the best way to run Apache Spark®, whether on the cloud or in your data centre; runs on Kubernetes.
- Supported and maintained for up to 10 years
- Integrated monitoring
- Includes a fully supported distribution of Apache Spark
Run Apache Spark® on
Integrate it with
What can you achieve with Spark®?
Streaming data integration
Integrate, join and process data in motion with Spark Streaming and Spark Structured Streaming for streaming applications ranging from industrial IoT to clickstream.
Batch data processing
Develop advanced batch data processing applications that crunch big data and run at massive scale.
Use Spark SQL to write advanced SQL queries to perform analysis on your data – whatever form it takes.
Use Spark's MLlib toolkit to build machine learning models trained on vast datasets, or use Spark for feature engineering in Python – all using your Kubernetes cluster.
Expert support for your Spark® project directly from Canonical.
- Platform architecture and design
- Solution deployment
- Ad-hoc consulting
Apache Spark® resources
Canonical announces Charmed Spark ‐ an advanced solution for Apache Spark® that provides everything users need to run Apache Spark on Kubernetes.
Get a detailed overview of Canonical Charmed Spark architecture – an element of the Canonical Data Fabric suite of solutions for data-intensive workloads.
Learn about big data security best practices and pragmatic steps that you can take to secure your Spark applications – wherever they may be running.
Apache®, Apache Spark, Spark®, and the Spark logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.